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Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early-onset type 2 diabetes 综合统计和机器学习分析为区分早发性2型糖尿病的关键影响症状提供了见解
Q1 Medicine Pub Date : 2022-07-31 DOI: 10.1002/cdt3.39
David A. Wood

Background

Being able to predict with confidence the early onset of type 2 diabetes from a suite of signs and symptoms (features) displayed by potential sufferers is desirable to commence treatment promptly. Late or inconclusive diagnosis can result in more serious health consequences for sufferers and higher costs for health care services in the long run.

Methods

A novel integrated methodology is proposed involving correlation, statistical analysis, machine learning, multi-K-fold cross-validation, and confusion matrices to provide a reliable classification of diabetes-positive and -negative individuals from a substantial suite of features. The method also identifies the relative influence of each feature on the diabetes diagnosis and highlights the most important ones. Ten statistical and machine learning methods are utilized to conduct the analysis.

Results

A published data set involving 520 individuals (Sylthet Diabetes Hospital, Bangladesh) is modeled revealing that a support vector classifier generates the most accurate early-onset type 2 diabetes status predictions with just 11 misclassifications (2.1% error). Polydipsia and polyuria are among the most influential features, whereas obesity and age are assigned low weights by the prediction models.

Conclusion

The proposed methodology can rapidly predict early-onset type 2 diabetes with high confidence while providing valuable insight into the key influential features involved in such predictions.

背景:能够从潜在患者表现出的一系列体征和症状(特征)中自信地预测2型糖尿病的早期发病是及时开始治疗的可取之处。晚期或不确定的诊断可能给患者带来更严重的健康后果,从长远来看,还会增加卫生保健服务的费用。方法提出了一种新的综合方法,包括相关性、统计分析、机器学习、多重k -fold交叉验证和混淆矩阵,从大量特征中提供可靠的糖尿病阳性和阴性个体分类。该方法还确定了每个特征对糖尿病诊断的相对影响,并突出了最重要的特征。使用了十种统计和机器学习方法进行分析。结果:对520人(孟加拉国Sylthet糖尿病医院)的公开数据集进行建模,显示支持向量分类器生成最准确的早发性2型糖尿病状态预测,只有11个错误分类(2.1%的误差)。多饮和多尿是最具影响的特征,而肥胖和年龄在预测模型中被分配的权重较低。结论:本文提出的方法能够快速预测早发性2型糖尿病,具有较高的置信度,同时对此类预测中涉及的关键影响特征提供了有价值的见解。
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引用次数: 0
Pathophysiology and therapeutic advances in myeloma bone disease 骨髓瘤骨病的病理生理学和治疗进展
Q1 Medicine Pub Date : 2022-07-04 DOI: 10.1002/cdt3.35
Fujing Zhang, Junling Zhuang

Bone disease is the most common complication in patients with multiple myeloma (MM), and it may lead to skeletal-related events (SREs) such as bone pain, pathological fractures, and spinal cord compression, which impair a patients' quality of life and survival. The pathogenesis of myeloma bone disease (MBD) involves disruption of bone reconstitution balance including excessive activation of osteoclasts, inhibition of osteoblasts, and participation of osteocytes and bone marrow stromal cells. Various factors, such as the receptor activator of nuclear factor-κB ligand (RANKL)/osteoprotegerin (OPG), dickkopf-1 (DKK-1), sclerostin, and activin-A, are involved in the development of MBD. Bisphosphonates and the anti-RANKL antibody denosumab are currently the main treatment options for MBD, delaying the onset of SREs. Denosumab is preferred in patients with MM and renal dysfunction. Although effective drugs have been approved, antimyeloma therapy is the most important method for controlling bone disease.

骨病是多发性骨髓瘤(MM)患者最常见的并发症,可导致骨痛、病理性骨折、脊髓受压等骨骼相关事件(SREs),影响患者的生活质量和生存。骨髓瘤骨病(MBD)的发病机制涉及骨重建平衡的破坏,包括破骨细胞的过度激活、成骨细胞的抑制以及骨细胞和骨髓基质细胞的参与。核因子-κB配体受体激活因子(RANKL)/骨保护素(OPG)、dickkopf-1 (DKK-1)、硬化蛋白(sclerostin)、活化素- a等多种因子参与MBD的发生。双膦酸盐和抗rankl抗体denosumab目前是MBD的主要治疗选择,可以延缓SREs的发作。Denosumab是MM和肾功能不全患者的首选。虽然有效的药物已经被批准,但抗骨髓瘤治疗是控制骨病最重要的方法。
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引用次数: 2
Partial advances in the diagnosis and treatment of gastrointestinal cancer 胃肠道肿瘤的诊断和治疗的部分进展
Q1 Medicine Pub Date : 2022-07-04 DOI: 10.1002/cdt3.36
Mingguang Ju, Ziming Gao, Kai Li, Zhenning Wang

Gastrointestinal cancers are difficult to be cured with a high recurrence rate accounting for more than 50% of global cancer-related morbidity and mortality.1 Many patients with gastrointestinal cancer are diagnosed at a late stage. Over the past few decades, basic and clinical research with new technologies have made significant progress in the diagnosis and treatment of gastrointestinal cancers, which significantly improved the quality of life and prolonged the survival of patients. Here, we briefly highlight several advances in diagnosing and treating gastrointestinal tumors, mainly gastric cancer and colorectal cancer from multiple perspectives.

Early diagnosis is crucial for the treatment of gastrointestinal cancers. With the continuous advances in molecular biology, genomics, and epigenetics, individualized diagnosis of gastric cancer and colorectal cancer holds promise for basic research and clinical applications. Liquid biopsy, including detection of circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), tumor-related extracellular vesicles (exosomes and microvesicles), tumor-educated platelets, proteins as well as metabolites in a range of bodily fluids offers a cost-efficient and noninvasive approach to screening tumor and monitor relapse and response to treatment.2 CTCs are tumor cells in peripheral blood, falling off from the solid tumor focus (primary focus or metastatic focus) due to spontaneous or diagnostic and treatment procedures.3 Most of the CTCs undergo apoptosis or phagocytosis and are engulfed by immune cells after entering the peripheral blood; only a few can escape and invade a distant organ to form metastatic foci, increasing the risk of death in patients with gastrointestinal cancers.3 Recent studies have shown that CTCs are heterogenic and can proliferate in vivo and in vitro. These, together with the findings from the single-cell molecular analysis, have provided unique insights into the biology of cancer metastasis and therapeutic response.

ctDNA may reflect tumor-specific abnormalities, and analysis of ctDNA can be applied in the diagnosis, therapeutic response, and prognosis of cancer patients. The mutations in specific genes have been detected in the plasma of patients with several types of gastrointestinal cancers, suggesting that ctDNA may be a possible biomarker of gastrointestinal cancers. The minimal residual disease (MRD) is a microscopic focus of treatment-insensitive tumor cells or the early recurrence of tumors.4 Hence, precise evaluation of MRD is especially significant during or after the treatment of gastrointestinal tumors.5 The detection of ctDNA and CTCs can help identify and explain the nature of MRD and may provide a new strategy for the prevention and treatment of tumor metastasis.3, 5 Neverthel

胃肠道肿瘤难以治愈,复发率高,占全球癌症相关发病率和死亡率的50%以上许多胃肠道癌症患者在晚期才被诊断出来。近几十年来,新技术的基础和临床研究使胃肠道肿瘤的诊断和治疗取得了重大进展,显著提高了患者的生活质量,延长了患者的生存期。在此,我们从多个角度简要介绍几种胃肠道肿瘤的诊断和治疗进展,主要是胃癌和结直肠癌。早期诊断对胃肠道癌症的治疗至关重要。随着分子生物学、基因组学和表观遗传学的不断进步,胃癌和结直肠癌的个体化诊断具有广阔的基础研究和临床应用前景。液体活检,包括循环肿瘤细胞(CTCs)、循环肿瘤DNA (ctDNA)、肿瘤相关细胞外囊泡(外泌体和微囊泡)、肿瘤诱导血小板、蛋白质以及一系列体液中的代谢物的检测,为肿瘤筛查和监测复发和治疗反应提供了一种经济有效的非侵入性方法ctc是外周血中的肿瘤细胞,由于自发或诊断和治疗过程而从实体瘤病灶(原发病灶或转移灶)脱落大部分ctc进入外周血后发生凋亡或吞噬,被免疫细胞吞噬;只有少数能逃逸并侵入远端器官形成转移灶,增加了胃肠道癌患者的死亡风险最近的研究表明,ctc具有异质性,可以在体内和体外增殖。这些与单细胞分子分析的发现一起,为癌症转移和治疗反应的生物学提供了独特的见解。ctDNA可能反映肿瘤特异性异常,分析ctDNA可用于癌症患者的诊断、治疗反应和预后。在几种胃肠道癌症患者的血浆中检测到特定基因的突变,这表明ctDNA可能是胃肠道癌症的一种可能的生物标志物。微小残留病(MRD)是治疗不敏感的肿瘤细胞或肿瘤早期复发的显微病灶因此,在胃肠道肿瘤治疗期间或之后,精确评估MRD尤为重要ctDNA和CTCs的检测有助于识别和解释MRD的性质,并可能为预防和治疗肿瘤转移提供新的策略。然而,ctDNA片段通常具有较短的半衰期,目前,没有令人信服的临界值来区分高和低ctDNA浓度之间的界限。因此,ctDNA检测的临床价值尚未得到广泛认可另一个吸引人的脂质活检项目是来自癌细胞的外泌体,它可以通过介导肿瘤细胞与细胞间基质的相互作用来促进肿瘤细胞的侵袭和转移;外泌体还与上皮-间质转化(EMT)、肿瘤血管生成和化疗耐药密切相关美国食品和药物管理局(FDA)已经批准了几种单基因和多基因检测作为癌症特异性分子靶向治疗的补充诊断,标志着液体活检的广泛临床应用,特别是在晚期癌症患者中。人工智能,特别是机器学习和深度学习,为科学和临床研究开辟了新的途径。随着日常治疗中产生的多维数据越来越多,人工智能可以帮助临床医生对患者的治疗路径形成个性化的视角,最终指导临床决策。这些决策依赖于整合不同且复杂的数据流,包括临床表现、患者病史、病理结果、基因组学、医学影像,并将这些数据与越来越多的科学文献的结论相匹配。早期数据和计算限制往往需要将非结构化的患者数据(如医学图像和活检)简化为一组人类能够理解的疾病程度的离散观察结果。这种简化的一个突出例子是癌症分期系统,最引人注目的是美国癌症联合委员会(AJCC)的TNM分类人工智能已被用于提高CTC和ctDNA检测数据的液体活检分析的准确性,这可能有助于其在未来融入临床工作流程。 例如,机器学习已被应用于识别癌症患者的CTCs,9分析ctDNA用于癌症检测和定位,综合多组分析,液体活检测试和其他临床遗传学,代谢组学,免疫学,微生物学和稳态数据,以指导治疗决策。目前,FDA已经批准了一些用于肿瘤适应症的人工智能应用,许多应用正在进行中。人们对缩小人工智能发展与临床转化之间的差距非常感兴趣。因此,FDA正在为已批准的临床应用设计人工智能和机器学习的具体指导方针人工智能的前景是光明的,但将人工智能成功地融入临床肿瘤学仍有许多挑战,它可能只适用于某些特定的癌症问题,其具体价值可能源于临床的具体病例未来的研究应该分析人工智能的前景、成功和失败,并根据具体情况将其转化为临床。人工智能在癌症诊断和治疗中的应用的进一步发展可能有利于胃肠道癌症的临床管理。2018年,欧洲肿瘤医学学会(ESMO)和来自亚洲国家的肿瘤学家根据科学证据修订了2016年版指南,以更好地管理胃癌。2019年ESMO转移性胃癌指南的主要变化是更新了免疫疗法作为胃癌的治疗方法根据肿瘤免疫编辑理论,免疫检查点抑制剂(immune checkpoint inhibitors, ICIs)已成为治疗胃肠道肿瘤的有效策略。最常用的ICIs包括单克隆抗体程序性细胞死亡蛋白-1 (PD-1)/程序性死亡蛋白配体-1 (PD-L1)和细胞毒性t淋巴细胞相关蛋白-4 (CTLA-4)。此外,其他免疫疗法是可用的,包括过继T细胞疗法(ACT),如嵌合抗原受体(CAR)和T细胞受体(TCR)-T细胞的过继转移,以及大量肿瘤浸润淋巴细胞(TIL)治疗。不幸的是,免疫治疗的反应率并不令人满意,有些患者在治疗一段时间后可能失去治疗效果。此外,胃肠道癌症对免疫治疗的应答率通常较低,因为癌细胞可能逃避免疫反应,导致免疫耐受进一步探索癌细胞对免疫疗法产生耐药性的机制可能为开发新的有前景的胃肠道癌症免疫疗法提供基础先前的一项研究表明,肠道微生物群是一个由数万亿微生物组成的复杂群落,在胃肠道癌症患者的免疫治疗反应中起着至关重要的作用除了生理功能外,肠道微生物群还可以调节肿瘤的发生和抗肿瘤治疗的耐药性。在抗肿瘤治疗中,通常使用许多药物来减少不良事件,这些药物包括抗糖尿病药、阿司匹林、质子泵抑制剂、精神药物、非甾体抗炎药和镇痛药,如阿片类药物。有趣的是,用这些药物治疗可以显著调节肠道微生物群的组成。因此,了解肠道菌群对抗肿瘤免疫疗法的调控作用可能有助于提高其对胃肠道肿瘤的治疗效果。纳米颗粒代表了一种有前途的策略,以提高疗效和减少免疫治疗的毒性。在结直肠癌的治疗中,纳米颗粒可用于在肿瘤免疫微环境中传递各种有可能影响免疫细胞及其免疫反应性的物质,靶向免疫系统,激活多种免疫细胞,包括但不限于T细胞。16胃肠道肿瘤TME除肿瘤细胞外,还包括免疫细胞、内皮细胞、成纤维细胞、细胞外基质等多种类型。TME中的这些成分是影响肿瘤发生、进展和免疫反应的关键因素。细胞和体液成分之间的平衡以及TME中各种炎症反应对肿瘤生长至关重要。细胞免疫治疗和药物免疫治疗可调节TME增强肿瘤免疫原性和抗肿瘤免疫反应,限制肿瘤生长。然而,免疫疗法(如ICIs)的疗效受到TME动态变化的影响,这可能导致胃肠道癌症的获得性耐药。因此,进一步了解TME的动态变化可能有助于开发新的治疗策略,以改善胃肠道癌症的免疫治疗和预防治疗耐药。 确定TME与肿瘤细胞的相互作用,进一步探索免疫逃逸和免疫耐受的机制,有效重塑TME是癌症免疫治疗的主要解决方案。3D细胞培养模型的生物打印可以帮助在物理模拟条件下监测复杂的细胞行为,在一个易于处理的系统中调节多种类型的细胞,并实时研究细胞相互作用。17,18随着临床组织的改善和更好的技术来观察原位细胞和解剖异细胞信号,使用生物打印来理解TME在解决转化研究问题方面具有很大的希望。此外,三维细胞培养模型对抗癌药物的开发具有重要价值。个性化癌症模型还可用于筛选个性化抗肿瘤药物,促进基础癌症研究、药物开发和精准用药。尽管3D生物打印具有吸引力,但由于全面复制自然组织的细胞行为和结构复杂性的固有挑战,因此在用于构建3D模型的打印平台,细胞和材料方面存在一些
{"title":"Partial advances in the diagnosis and treatment of gastrointestinal cancer","authors":"Mingguang Ju,&nbsp;Ziming Gao,&nbsp;Kai Li,&nbsp;Zhenning Wang","doi":"10.1002/cdt3.36","DOIUrl":"10.1002/cdt3.36","url":null,"abstract":"<p>Gastrointestinal cancers are difficult to be cured with a high recurrence rate accounting for more than 50% of global cancer-related morbidity and mortality.<span><sup>1</sup></span> Many patients with gastrointestinal cancer are diagnosed at a late stage. Over the past few decades, basic and clinical research with new technologies have made significant progress in the diagnosis and treatment of gastrointestinal cancers, which significantly improved the quality of life and prolonged the survival of patients. Here, we briefly highlight several advances in diagnosing and treating gastrointestinal tumors, mainly gastric cancer and colorectal cancer from multiple perspectives.</p><p>Early diagnosis is crucial for the treatment of gastrointestinal cancers. With the continuous advances in molecular biology, genomics, and epigenetics, individualized diagnosis of gastric cancer and colorectal cancer holds promise for basic research and clinical applications. Liquid biopsy, including detection of circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), tumor-related extracellular vesicles (exosomes and microvesicles), tumor-educated platelets, proteins as well as metabolites in a range of bodily fluids offers a cost-efficient and noninvasive approach to screening tumor and monitor relapse and response to treatment.<span><sup>2</sup></span> CTCs are tumor cells in peripheral blood, falling off from the solid tumor focus (primary focus or metastatic focus) due to spontaneous or diagnostic and treatment procedures.<span><sup>3</sup></span> Most of the CTCs undergo apoptosis or phagocytosis and are engulfed by immune cells after entering the peripheral blood; only a few can escape and invade a distant organ to form metastatic foci, increasing the risk of death in patients with gastrointestinal cancers.<span><sup>3</sup></span> Recent studies have shown that CTCs are heterogenic and can proliferate <i>in vivo</i> and <i>in vitro</i>. These, together with the findings from the single-cell molecular analysis, have provided unique insights into the biology of cancer metastasis and therapeutic response.</p><p>ctDNA may reflect tumor-specific abnormalities, and analysis of ctDNA can be applied in the diagnosis, therapeutic response, and prognosis of cancer patients. The mutations in specific genes have been detected in the plasma of patients with several types of gastrointestinal cancers, suggesting that ctDNA may be a possible biomarker of gastrointestinal cancers. The minimal residual disease (MRD) is a microscopic focus of treatment-insensitive tumor cells or the early recurrence of tumors.<span><sup>4</sup></span> Hence, precise evaluation of MRD is especially significant during or after the treatment of gastrointestinal tumors.<span><sup>5</sup></span> The detection of ctDNA and CTCs can help identify and explain the nature of MRD and may provide a new strategy for the prevention and treatment of tumor metastasis.<span><sup>3, 5</sup></span> Neverthel","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"9 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/99/ca/CDT3-9-1.PMC10011665.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9484700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Countrywide cardiovascular disease prevention and control in 49 countries with different socio-economic status 49个不同社会经济地位国家的全国心血管疾病预防和控制
Q1 Medicine Pub Date : 2022-06-29 DOI: 10.1002/cdt3.34
Nikolai Khaltaev, Svetlana Axelrod

Background

Cardiovascular disease (CVD) is the major noncommunicable disease (NCD) accounting for 17.9 million deaths. If current trends continue, the annual number of deaths from CVD will rise to 22.2 million by 2030. The United Nations General Assembly adopted a sustainable development goal (SDG) by 2030 to reduce NCD mortality by one-third. The purpose of this study was to analyze the CVD mortality trends in different countries implementing World Health Organization (WHO) NCD Action Plan and emphasize effective ways to achieve SDG.

Methods

WHO statistics, based on the Member-States unified mortality and causes-of-death reports were used for analyzing trends and different interventions.

Results

Reduction of CVD mortality from 2000 to 2016 in 49 countries was achieved for stroke at 43% and ischemic heart disease at 30%. Smoking prevalence and raised blood pressure (RBP) decreased in 84% and 55% of the countries. Eighty-nine percent of high-income countries (HIC) demonstrated a decline in tobacco smoking against 67% in middle-income countries (MIC). Sixty-nine percent of HIC demonstrated a decline in RBP against 15% in MIC. CVD management, tobacco, and unhealthy diet reduction measures are significantly better in HIC. The air pollution level was higher in MIC.

Conclusion

Building partnerships between countries could enhance their efforts for CVD prevention and successful achievement of SDG.

背景:心血管疾病(CVD)是主要的非传染性疾病(NCD),造成1790万人死亡。如果目前的趋势继续下去,到2030年每年死于心血管疾病的人数将上升到2220万人。联合国大会通过了到2030年将非传染性疾病死亡率降低三分之一的可持续发展目标。本研究的目的是分析实施世界卫生组织(WHO)非传染性疾病行动计划的不同国家的心血管疾病死亡率趋势,并强调实现可持续发展目标的有效途径。方法采用基于会员国统一死亡率和死因报告的世卫组织统计数据来分析趋势和不同的干预措施。结果从2000年到2016年,49个国家的心血管疾病死亡率降低了43%,缺血性心脏病死亡率降低了30%。在84%和55%的国家,吸烟率和血压升高(RBP)下降。89%的高收入国家吸烟率下降,而中等收入国家吸烟率下降67%。高收入国家中69%的RBP下降,中等收入国家为15%。心血管疾病管理、烟草和不健康饮食减少措施在HIC中明显更好。中等收入地区的空气污染程度较高。结论建立国家间的伙伴关系可以加强各国预防心血管疾病的努力,促进可持续发展目标的成功实现。
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引用次数: 4
Association of cannabis with chronic obstructive pulmonary disease and COVID-19 infection 大麻与慢性阻塞性肺病和新冠肺炎感染的关联。
Q1 Medicine Pub Date : 2022-06-22 DOI: 10.1002/cdt3.38
Steven Lehrer, Peter H. Rheinstein

In a 2012 study, occasional and low cumulative cannabis use was not associated with adverse effects on pulmonary function.1 With tobacco, the more used, the more loss of air flow rate and lung volume. The same was not true with cannabis use. Air flow rate increased rather than decreased with increased exposure to cannabis up to a certain level.

An important factor that helped explain the difference in effects from tobacco and cannabis was the amount of each that was smoked. Tobacco users typically smoked 10–20 cigarettes daily, some even more. Cannabis smokers, on average, smoked only two to three times a month, so the average exposure to cannabis was much lower than for tobacco. People experiment with cannabis in their late teens and 20s, and some consume relatively low levels for years. Although heavy exposure to cannabis might damage the lungs, reliable estimates of the effects of heavy use were not available in the 2012 study, as heavy users were relatively rare in the study population.

In the current analysis, we used data from UK Biobank (UKB) to assess the effect of cannabis on coronavirus disease (COVID-19) infection and to determine whether cannabis lung damage might facilitate COVID-19 infection in formerly heavy users.

The UKB is a large prospective observational study comprising about 500,000 men and women (N = 229,134 men, N = 273,402 women), more than 90% White, aged 40–69 years at enrollment. Participants were recruited from across 22 centers located throughout England, Wales, and Scotland, between 2006 and 2010, and continue to be longitudinally followed for capture of subsequent health events.2 This methodology is like that of the Framingham Heart Study,3 with the exception that the UKB program collects postmortem samples, which Framingham did not.

Our UKB application was approved as UKB project 57,245 (S.L. and P.H.R.).

Doctor-diagnosed chronic obstructive pulmonary disease (COPD) is from UKB data field 22,130. At enrollment, the subject was asked on a touchscreen, “Has a doctor ever told you that you have had any of the conditions below?” COPD was one of the options listed.

The subject was asked, “Have you taken cannabis (marijuana, grass, hash, ganja, blow, draw, skunk, weed, spliff, dope), even if it was a long time ago?” If the answer was “yes,” cannabis use was recorded in the UKB data field 20,454, maximum frequency of taking cannabis, question asked: “Considering when you were taking cannabis most regularly, how often did you take it?” Answers were 1 = Less than once a month, 2 = Once a month or more, but not every week, 3 = Once a week or more, but not every day, and 4 = Every day. Subject was then asked (UKB data field 20455) “About how old were you when you last had cannabis?”

All UKB subjects who had cannabis-use data, COVID-19 test data, and COPD data were incl

在2012年的一项研究中,偶尔和少量累积使用大麻与肺功能的不良影响无关吸烟越多,空气流速和肺容量的损失就越大。大麻的使用情况并非如此。空气流量增加而不是减少,增加暴露于大麻达到一定水平。有助于解释烟草和大麻影响差异的一个重要因素是吸烟的数量。烟草使用者通常每天抽10到20支烟,有些人甚至更多。吸食大麻的人平均每个月只吸两到三次,所以大麻的平均暴露量远低于烟草。人们在十几岁和二十几岁的时候尝试大麻,有些人多年来吸食相对较少的大麻。虽然大量接触大麻可能会损害肺部,但2012年的研究没有对大量使用大麻的影响进行可靠的估计,因为重度使用者在研究人群中相对较少。在当前的分析中,我们使用了英国生物银行(UKB)的数据来评估大麻对冠状病毒病(COVID-19)感染的影响,并确定大麻肺损伤是否可能促进以前重度使用者的COVID-19感染。UKB是一项大型前瞻性观察性研究,包括约500,000名男性和女性(N = 229,134名男性,N = 273,402名女性),超过90%的白人,入组时年龄为40-69岁。2006年至2010年间,研究人员从英格兰、威尔士和苏格兰的22个中心招募了参与者,并对他们进行了纵向跟踪,以获取随后的健康事件这种方法类似于弗雷明汉心脏研究3,除了UKB项目收集的是死后样本,而弗雷明汉没有。我们的UKB申请被批准为UKB项目57,245 (S.L.和P.H.R.)。医生诊断的慢性阻塞性肺疾病(COPD)来自UKB数据字段22130。在注册时,研究对象在触摸屏上被问到:“医生是否告诉过你,你有以下任何一种情况?”慢性阻塞性肺病是列出的选项之一。受试者被问到:“你吸过大麻(大麻、草、hash、ganja、blow、draw、skunk、weed、spliff、dope)吗,即使是很久以前的?”如果答案是“是”,则大麻使用记录在UKB数据字段20,454,吸食大麻的最大频率,问题是:“考虑到你最经常吸食大麻的时间,你吸食大麻的频率是多少?”答案是1 =每月不到一次,2 =每月一次以上,但不是每周一次,3 =每周一次以上,但不是每天,4 =每天。然后受试者被问及(UKB数据字段20455)“你最后一次吸食大麻的年龄是多少?”所有具有大麻使用数据、COVID-19测试数据和COPD数据的UKB受试者都被纳入研究。2020年3月16日至4月26日期间,UKB记录与英国国家卫生服务机构COVID-19实验室检测结果之间的电子链接可以使用,包括当前疫情中每日COVID-19实验室确诊病例的高峰期。在此期间,对老年人的检测主要局限于有临床感染症状的住院患者,因此检测阳性被认为是严重covid -19.4的良好标志。数据处理在西奈山伊坎医学院的Minerva(带有Centos 7.6的Linux主机)上进行。我们使用了UKB数据解析器(ukbb Parser),这是一个基于python的包,可以轻松地与大型UKB数据集进行接口。5 .受试者平均年龄为57±8.1岁(mean±SD)。54%是女性,46%是男性。98%是英国白人。受试者24±11年未吸食大麻(图1)。表1显示了20,996名受试者中大麻最大使用量与COPD发病率的关系。大麻使用的增加与COPD患病率的增加相关(p = 0.011, Fisher精确检验,双尾)。COVID-19检测结果与长期吸食大麻的对比见表2。大麻使用增加与COVID-19检测阳性增加相关(p = 0.026, Fisher精确检验,双尾)。表3显示了逻辑回归、COVID-19检测结果、因变量、曾经吸食大麻、包年吸烟和自变量。大麻和包年吸烟对COVID-19检测结果的影响显著且独立。吸烟会增加肺部感染的风险,可能包括COVID-19。吸烟损害免疫系统,使患肺结核的风险几乎增加一倍。吸烟影响巨噬细胞和细胞因子的反应,从而影响控制感染的能力。吸烟的人感染肺炎球菌、军团菌和肺炎支原体的风险大约高出三到五倍在一项研究中,当前吸烟者更有可能报告症状,这表明诊断为COVID-19。 7 .吸食大麻的影响难以准确评估,也难以与烟草的影响区分开来;然而,大麻的使用可能会导致严重的肺损伤。大麻烟雾对肺部的影响与烟草烟雾相似,会引起咳嗽、咳痰和恶性通货膨胀等症状。随着使用时间的增加,大麻会产生严重的肺部疾病。大麻可能会削弱免疫系统,导致肺炎。吸食大麻与慢性支气管炎的症状有关。大量使用大麻会导致气道阻塞和更糟糕的COVID-19结果然而,使用大麻可能会减少肺部炎症,抑制Covid-19感染中的病毒复制,在某些情况下会带来更好的结果。11,12如上所述,我们发现大麻和一包年吸烟对COVID-19检测结果的影响是显著且独立的(表3)。这表明,大麻和吸烟对肺部的破坏性影响是相加的,即使大麻已经十年或更长时间没有吸烟。我们的研究有缺点。COVID-19阳性检测结果与大麻使用有关(表2)。然而,我们没有大麻使用频率与COVID-19易感性相关的数据。在逻辑回归中(表3),更多的自变量将是值得的。此外,白人受试者的高发病率可能会影响结果。戒烟永远不会太晚。一个吸烟者一旦戒烟,他患癌症和其他疾病的几率就降低了我们的研究结果表明,大麻可能是类似的。戒烟15年后,患冠心病的风险与不吸烟者接近与心脏不同,肺部不会忘记吸入烟草或大麻的伤害,即使多年以后,但戒烟后肺部的损伤可能不会进一步增加。各州大麻政策的变化使其在医疗和娱乐用途上合法化,这表明大麻在我们的社会中赢得了越来越多的认可。因此,人们必须了解大麻对健康的不良影响随着大麻的使用越来越广泛,毫无疑问,更多的不良影响将会暴露出来。Steven Lehrer和Peter H. Rheinstein对这项研究贡献相同。作者声明无利益冲突。UK Biobank已经获得了覆盖英国的西北多中心研究伦理委员会(MREC)的批准。它还在英格兰和威尔士寻求患者信息咨询小组(PIAG)的批准,以获得允许它邀请人们参与的信息。此后,PIAG被国家卫生信息治理委员会取代;社会关怀(NIGB)。在苏格兰,英国生物银行获得了社区健康指数咨询小组(CHIAG)的批准。
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引用次数: 1
Perspectives on early-stage lung cancer identification and challenges to thoracic surgery 早期肺癌的诊断和胸外科的挑战
Q1 Medicine Pub Date : 2022-06-22 DOI: 10.1002/cdt3.28
Xiao Li, Kezhong Chen, Fan Yang, Jun Wang
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引用次数: 1
Cognitive deficiency, parental relationship, and coping strategies are related with anxiety and depression among parents of children with epilepsy 认知缺陷、父母关系和应对策略与癫痫患儿家长焦虑和抑郁有关
Q1 Medicine Pub Date : 2022-06-06 DOI: 10.1002/cdt3.25
Zhengjia Ren, Chunsong Yang, Dan Yu

Background

The diagnosis of epilepsy in a child often and understandably causes psychological adjustment difficulties in the parents. To help parents of children with epilepsy cope with stress, it is important to understand how parents cope with the sickness of their child. The objective of this study was to assess factors related to the state of anxiety and depression among parents of children with epilepsy.

Methods

The present study was a cross-sectional study, and the data were collected through an anonymous, Internet-based survey platform between October 2018 and October 2019 from 250 participants aged 22–65 years. Participants were invited to fill questionnaires include socioeconomic questionnaire, anxiety, depression, and coping strategies scale.

Result

Among the parents of children with epilepsy, 48.8% (122/250) had depressive symptoms (Patient Health Questionnaire-9 [PHQ-9] score >4) and 46.4% (116/250) had anxiety symptoms (7-item Generalized Anxiety Disorder [GAD-7] score >5). Depression among parents of children with epilepsy was significantly associated with comorbidity (odds ratio [OR] = 0.392, 95% CI = 0.182–0.846), a poor parental relationship (OR = 0.283, 95% CI = 0.130–0.614), positive coping (OR = 0.947, 95% CI = 0.903–0.992), and negative coping (OR = 1.287, 95% CI = 1.179–1.405). Anxiety among parents of children with epilepsy was significantly associated with a poor parental relationship (OR = 0.416, 95% CI = 0.207–0.835) and negative coping (OR = 1.155, 95% CI = 1.087–1.228).

Conclusions

The present study indicates the importance of couple support and providing effective coping to make parents of children with epilepsy more resilient in the presence of negative life events, especially for parents of children with comorbidity with cognitive deficiency.

背景儿童癫痫的诊断通常会给家长带来心理适应困难,这是可以理解的。为了帮助癫痫患儿的父母应对压力,了解父母如何应对孩子的疾病是很重要的。本研究的目的是评估癫痫患儿家长焦虑和抑郁状态的相关因素。方法本研究为横断面研究,数据收集于2018年10月至2019年10月期间,通过匿名互联网调查平台收集250名年龄在22-65岁之间的参与者。问卷包括社会经济问卷、焦虑、抑郁问卷和应对策略量表。结果癫痫患儿家长中,48.8%(122/250)存在抑郁症状(患者健康问卷-9 [PHQ-9]评分 >4), 46.4%(116/250)存在焦虑症状(7项广泛性焦虑障碍[GAD-7]评分 >5)。癫痫患儿父母抑郁与共病发生率显著相关(优势比[OR] = 0.392, 95% CI = 0.182 ~ 0.846)、父母关系差(OR = 0.283, 95% CI = 0.130 ~ 0.614)、积极应对(OR = 0.947, 95% CI = 0.903 ~ 0.992)、消极应对(OR = 1.287, 95% CI = 1.179 ~ 1.405)。癫痫患儿家长焦虑与父母关系差(OR = 0.416, 95% CI = 0.207 ~ 0.835)和消极应对(OR = 1.155, 95% CI = 1.087 ~ 1.228)显著相关。结论夫妻支持和提供有效的应对措施对癫痫患儿的父母在面对负面生活事件时更有弹性,特别是对合并认知缺陷患儿的父母。
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引用次数: 0
Identification of the genetic central dogma in osteogenic differentiation of MSCs by osteoinductive medium from transcriptional data sets 从转录数据集鉴定成骨诱导培养基中MSCs成骨分化的遗传中心规律
Q1 Medicine Pub Date : 2022-05-31 DOI: 10.1002/cdt3.26
Tong-Meng Jiang

Background

The genetic central dogma (GCD) has been demonstrated its essential function in many biological processes and diseases. However, its roles in the process of osteogenic differentiation of mesenchymal stem cells (MSCs) remain unclear.

Methods

In this project, we analyzed an online database of osteogenic differentiation of MSCs after 14 days and 28 days by osteoinductive medium (GSE83770). The differentially expressed genes were screened by GEO2R, with further conducting of KEGG pathways using DAVID. In addition, protein–protein interactions of the enriched pathways were performed using STRING with marked hub genes measured by the CytoHubba. Hub genes were verified by quantitative reverse-transcription polymerase chain reaction.

Results

Results showed that six pathways related to GCD, including DNA replication, Aminoacyl-tRNA biosynthesis, Mismatch repair, Ribosome, Spliceosome, and RNA degradation pathways enriched in the early stage (14 days vs. undifferentiated MSCs) of osteogenesis. The Lysosome pathway was highly enriched in the late stage (28 vs. 14 days) of osteogenesis, and Ribosome pathway plays a key role throughout the entire process (28 days vs. undifferentiated MSCs) of osteogenesis.

Conclusion

Both DNA replication and protein translation were functionally worked in the early stage of osteogenesis, whereas the Lysosome pathway was the only GCD-related one in the late stage of osteogenesis. The GCD-related Ribosome pathway occupied the entire process of osteogenesis.

遗传中心规律(GCD)在许多生物过程和疾病中发挥着重要作用。然而,其在间充质干细胞成骨分化过程中的作用尚不清楚。方法在本项目中,我们分析了MSCs在骨诱导培养基(GSE83770) 14天和28天后成骨分化的在线数据库。通过GEO2R筛选差异表达基因,通过DAVID进一步传导KEGG通路。此外,利用STRING与CytoHubba测量的标记枢纽基因进行了富集途径的蛋白-蛋白相互作用。Hub基因通过定量逆转录聚合酶链反应验证。结果发现,在成骨早期(与未分化MSCs相比14天),DNA复制、氨基酰基- trna生物合成、错配修复、核糖体、剪接体和RNA降解等6条与GCD相关的通路富集。溶酶体途径在成骨后期(28天和14天)高度富集,核糖体途径在整个成骨过程(28天和未分化的MSCs)中发挥关键作用。结论DNA复制和蛋白翻译在成骨早期都有功能,而溶酶体途径是成骨后期唯一与gcd相关的途径。gcd相关的核糖体途径占据了成骨的整个过程。
{"title":"Identification of the genetic central dogma in osteogenic differentiation of MSCs by osteoinductive medium from transcriptional data sets","authors":"Tong-Meng Jiang","doi":"10.1002/cdt3.26","DOIUrl":"10.1002/cdt3.26","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The genetic central dogma (GCD) has been demonstrated its essential function in many biological processes and diseases. However, its roles in the process of osteogenic differentiation of mesenchymal stem cells (MSCs) remain unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this project, we analyzed an online database of osteogenic differentiation of MSCs after 14 days and 28 days by osteoinductive medium (GSE83770). The differentially expressed genes were screened by GEO2R, with further conducting of KEGG pathways using DAVID. In addition, protein–protein interactions of the enriched pathways were performed using STRING with marked hub genes measured by the CytoHubba. Hub genes were verified by quantitative reverse-transcription polymerase chain reaction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Results showed that six pathways related to GCD, including DNA replication, Aminoacyl-tRNA biosynthesis, Mismatch repair, Ribosome, Spliceosome, and RNA degradation pathways enriched in the early stage (14 days vs. undifferentiated MSCs) of osteogenesis. The Lysosome pathway was highly enriched in the late stage (28 vs. 14 days) of osteogenesis, and Ribosome pathway plays a key role throughout the entire process (28 days vs. undifferentiated MSCs) of osteogenesis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Both DNA replication and protein translation were functionally worked in the early stage of osteogenesis, whereas the Lysosome pathway was the only GCD-related one in the late stage of osteogenesis. The GCD-related Ribosome pathway occupied the entire process of osteogenesis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":32096,"journal":{"name":"Chronic Diseases and Translational Medicine","volume":"8 3","pages":"218-228"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8b/b3/CDT3-8-218.PMC9481875.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33500142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning 基于机器学习和深度学习的COVID-19患者CT扫描灰度图像统计表征肺部状况
Q1 Medicine Pub Date : 2022-05-31 DOI: 10.1002/cdt3.27
Sara Ghashghaei, David A. Wood, Erfan Sadatshojaei, Mansooreh Jalilpoor

Background

Grayscale image attributes of computed tomography (CT) of pulmonary scans contain valuable information relating to patients with respiratory ailments. These attributes are used to evaluate the severity of lung conditions of patients confirmed to be with and without COVID-19.

Method

Five hundred thirteen CT images relating to 57 patients (49 with COVID-19; 8 free of COVID-19) were collected at Namazi Medical Centre (Shiraz, Iran) in 2020 and 2021. Five visual scores (VS: 0, 1, 2, 3, or 4) are clinically assigned to these images with the score increasing with the severity of COVID-19-related lung conditions. Eleven deep learning and machine learning techniques (DL/ML) are used to distinguish the VS class based on 12 grayscale image attributes.

Results

The convolutional neural network achieves 96.49% VS accuracy (18 errors from 513 images) successfully distinguishing VS Classes 0 and 1, outperforming clinicians’ visual inspections. An algorithmic score (AS), involving just five grayscale image attributes, is developed independently of clinicians’ assessments (99.81% AS accuracy; 1 error from 513 images).

Conclusion

Grayscale CT image attributes can be successfully used to distinguish the severity of COVID-19 lung damage. The AS technique developed provides a suitable basis for an automated system using ML/DL methods and 12 image attributes.

肺扫描计算机断层扫描(CT)的灰度图像属性包含与呼吸系统疾病患者相关的有价值的信息。这些属性用于评估已确诊和未确诊COVID-19患者肺部疾病的严重程度。方法57例患者513张CT图像(新冠肺炎49例;2020年和2021年在纳马齐医疗中心(伊朗设拉子)收集了8例无COVID-19病例。临床为这些图像分配五个视觉评分(VS: 0、1、2、3或4),评分随着covid -19相关肺部疾病的严重程度而增加。基于12个灰度图像属性,使用11种深度学习和机器学习技术(DL/ML)来区分VS类。结果卷积神经网络的VS准确率达到96.49%(513张图像中有18个错误),成功区分了VS 0和1类,优于临床医生的视觉检查。仅涉及5个灰度图像属性的算法评分(AS)独立于临床医生的评估而开发(AS准确率99.81%;513张图片中的1个错误)。结论CT灰度图像属性可成功区分COVID-19肺损伤的严重程度。所开发的AS技术为使用ML/DL方法和12个图像属性的自动化系统提供了合适的基础。
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引用次数: 2
Advances in breast cancer screening modalities and status of global screening programs 乳腺癌筛查方式的进展及全球筛查项目的现状
Q1 Medicine Pub Date : 2022-05-25 DOI: 10.1002/cdt3.21
Chenyu Luo, Le Wang, Yuhan Zhang, Ming Lu, Bin Lu, Jie Cai, Hongda Chen, Min Dai

Breast cancer (BC) is the most prevalent malignancy worldwide, and a continued upward trend has been predicted in the coming decades. Screening in selected targeted populations, which is effective in reducing cancer-related mortality, has been widely implemented in many countries. This review summarizes the advances in BC screening techniques, organized or opportunistic BC screening programs across different countries, and screening modalities recommended by different academic authorities. Mammography is the most widely used and effective technique for BC screening. Other complementary techniques include ultrasound, clinical breast examination, and magnetic resonance imaging. Novel screening tests, including digital breast tomosynthesis and liquid biopsies, are still under development. Globally, the implementation status of BC screening programs is uneven, which is reflected by differences in screening modes, techniques, and population coverage. The recommended optimal screening strategies varied according to the authoritative guidelines. The effectiveness of current screening programs is influenced by several factors, including low detection rate, high false-positive rate, and unsatisfactory coverage and uptake rates. Exploration of accurate BC risk prediction models and the development of risk-stratified screening strategies are highly warranted in future research.

乳腺癌(BC)是世界上最常见的恶性肿瘤,预计在未来几十年将继续呈上升趋势。在选定的目标人群中进行筛查可有效降低癌症相关死亡率,已在许多国家广泛实施。本文综述了BC筛查技术的进展,不同国家有组织的或机会性的BC筛查项目,以及不同学术机构推荐的筛查方式。乳房x线摄影是最广泛使用和最有效的BC筛查技术。其他辅助技术包括超声、临床乳房检查和磁共振成像。新型的筛查测试,包括数字乳房断层合成和液体活检,仍在开发中。在全球范围内,BC筛查项目的实施情况参差不齐,主要表现在筛查方式、筛查技术、筛查人群覆盖率等方面存在差异。推荐的最佳筛查策略因权威指南而异。当前筛查方案的有效性受到几个因素的影响,包括低检出率、高假阳性率、不理想的覆盖率和吸收率。在未来的研究中,探索准确的BC风险预测模型和发展风险分层筛查策略是非常必要的。
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引用次数: 4
期刊
Chronic Diseases and Translational Medicine
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